Senior Data Analyst

Posted on May 13, 2025

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Job Description

  • Senior Data Analyst
  • Openings: 3-4
  • Location: Remote
  • Experience: 5+
  • Dual employment = Client does not allow dual employment and such must be terminated as soon as possible if applies.
  • Note:-
  • * There will be a BGV process for this requirement.
  • * English fluency (all teams work internationally, and English is the standard language).
  • * Candidate should be your Inhouse Bench resource (No Market profiles allowed)
  • Full JD:
  • Key Responsibilities:
  • Engage with stakeholders, including operational managers and senior executives, to
  • understand critical business questions addressed through analytics.
  • Facilitate discovery sessions and requirements workshops for business users.
  • Identify data sources, collect data through manual or automated means, source missing data, and clean, transform, and organize data into a usable format.
  • Design, develop, and deploy reports and dashboards (data visualization), and generate business presentations and formal written reports to communicate the results of data analysis.
  • Document data flow and process flow, identifying gaps and areas for improvement.
  • Train and support the Internal Data Champion through coaching and mentoring.
  • Collaborate with IT and internal teams to support cloud initiatives and data asset
  • migration.
  • Qualifications:
  • Degree in Computer Science, Information Technology, or equivalent STEM fields.
  • Minimum of 5 years of experience in an analytics domain.
  • Proven experience working with senior business stakeholders (essential).
  • Strong understanding and experience with cloud platforms, preferably Databricks or Azure (essential).
  • Hands-on experience with SQL, Python or PySpark, with the ability to write production level
  • code (essential).
  • Proficiency with Power BI for analytics and data visualization (essential).
  • Advanced knowledge of data wrangling and data transformation techniques for cleaning and translating raw data into usable forms.
  • Familiarity with data governance, master data, and metadata management.
  • Knowledge of Power Apps, Power Automate, and UI Path is a significant plus but not
  • mandatory.
  • Experience in Manufacturing or Supply Chain is highly desirable.
  • Knowledge of SAP S4 and understanding of relevant data tables is a significant plus.
  • Willingness to take need-based calls in the US time zone.

Required Skills

data analyst